The RealityMashers: Augmented Reality Wide Field-of-View Optical See-Through Head Mounted Displays. - Jaron Lanier; Victor A. Mateevitsi; Kishore Rathinavel; Lior Shapira; Joseph Menke; Patrick Therien; Joshua Hudman; Gheric Speiginer; Andrea Stevenson Won; Andrzej Banburski; Xavier Benavides; Judith Amores; et al. (ISMAR Adjunct, 2016)

Theory IIIb: Generalization in Deep Networks. - Tomaso A. Poggio; Qianli Liao; Brando Miranda; Andrzej Banburski; Xavier Boix; Jack Hidary (CoRR, 2018)

A Surprising Linear Relationship Predicts Test Performance in Deep Networks. - Qianli Liao; Brando Miranda; Andrzej Banburski; Jack Hidary; Tomaso A. Poggio (CoRR, 2018)

Theory III: Dynamics and Generalization in Deep Networks. - Andrzej Banburski; Qianli Liao; Brando Miranda; Lorenzo Rosasco; Bob Liang; Jack Hidary; Tomaso A. Poggio (CoRR, 2019)

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization. - Tomaso A. Poggio; Andrzej Banburski; Qianli Liao (CoRR, 2019)

Double descent in the condition number. - Tomaso A. Poggio; Gil Kur; Andrzej Banburski (CoRR, 2019)

Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network. - Alexandra Proca; Andrzej Banburski; Tomaso A. Poggio (CogSci, 2020)

Biologically Inspired Mechanisms for Adversarial Robustness. - Manish V. Reddy; Andrzej Banburski; Nishka Pant; Tomaso A. Poggio (NeurIPS, 2020)

Hierarchically Local Tasks and Deep Convolutional Networks. - Arturo Deza; Qianli Liao; Andrzej Banburski; Tomaso A. Poggio (CoRR, 2020)

Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. - Simon Alford; Anshula Gandhi; Akshay Rangamani; Andrzej Banburski; Tony Wang; Sylee Dandekar; John Chin; Tomaso A. Poggio; Peter Chin 001 (COMPLEX NETWORKS, 2021)

Distribution of Classification Margins: Are All Data Equal? - Andrzej Banburski; Fernanda De La Torre; Nishka Pant; Ishana Shastri; Tomaso A. Poggio (CoRR, 2021)

Achieving Adversarial Robustness in Deep Learning-Based Overhead Imaging. - Dagen Braun; Matthew D. Reisman; Larry Dewell; Andrzej Banburski-Fahey; Arturo Deza; Tomaso A. Poggio (AIPR, 2022)

Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay. - Akshay Rangamani; Andrzej Banburski-Fahey (ICASSP, 2022)

Steps towards prompt-based creation of virtual worlds. - Jasmine Roberts; Andrzej Banburski-Fahey; Jaron Lanier (CoRR, 2022)

Real-time Animation Generation and Control on Rigged Models via Large Language Models. - Han Huang; Fernanda De La Torre; Cathy Mengying Fang; Andrzej Banburski-Fahey; Judith Amores; Jaron Lanier (CoRR, 2023)

LLMR: Real-time Prompting of Interactive Worlds using Large Language Models. - Fernanda De La Torre; Cathy Mengying Fang; Han Huang; Andrzej Banburski-Fahey; Judith Amores Fernandez; Jaron Lanier (CHI, 2024)

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. - Weijia Xu; Andrzej Banburski; Nebojsa Jojic (ICML, 2024)

Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds. - Amina Kobenova; Cyan DeVeaux; Samyak Parajuli; Andrzej Banburski-Fahey; Judith Amores Fernandez; Jaron Lanier (CoRR, 2024)

DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. - Sam Earle; Samyak Parajuli; Andrzej Banburski-Fahey (CHI, 2025)

Demonstrating DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. - Sam Earle; Samyak Parajuli; Andrzej Banburski-Fahey (CHI Extended Abstracts, 2025)

ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search. - Sam Earle; Ahmed Khalifa 001; Muhammad Umair Nasir; Zehua Jiang; Graham Todd; Andrzej Banburski-Fahey; Julian Togelius (CoG, 2025)